Developer Tools / AI Search / RAG
A Python framework for local document search that replaces traditional embedding-based RAG with BM25 indexing, Meilisearch, and an agent loop for search, fetch, and citation-backed answers.
The page clearly describes an AI-enabled developer tool with a specific workflow, installation path, and CLI/Python usage. It explains the product’s purpose, how it works, and several concrete ways to run it locally, which is enough for a useful public listing.
The snapshot does not show full API reference, model compatibility details beyond a few examples, or enough maintenance signals to judge project maturity. The Python API section is also cut off before the complete usage example.
Last evaluated 47 days ago. Current rank #1068. Down 3 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
